Databricks Data Engineer

Unison Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Unison Group is seeking a hands-on Databricks specialist to design and operationalize Delta Lakehouse architectures. You will lead technical delivery, mentor teams, and drive real-world outcomes for enterprise customers.

The role requires strong experience with Delta Lake, DLT, Unity Catalog, SQL Warehouses, and proficiency in Python or Scala. Cloud familiarity (AWS/Azure/GCP) and DevOps/MLOps practices are essential for success.

Qualifications

• 6 to 10 years hands-on Databricks experience including workspace setup, notebooks, clusters, and job orchestration.
• Delta Lake, DLT, Unity Catalog, and SQL Warehouses expertise.
• Proficiency in Python or Scala for data engineering and ML workflows.
• Strong understanding of AWS, Azure, or GCP cloud ecosystems.
• Experience with Terraform automation, DevOps, and MLOps practices.

Responsibilities

• Design and implement scalable data pipelines using Delta Live Tables, Spark SQL, Python, or Scala.
• Optimize ETL, streaming, and ML workloads for performance, cost, and reliability.
• Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure environments.
• Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.
• Implement observability and cost optimization with tools like Splunk, Prometheus, or CloudWatch.
• Collaborate with customers to build AI/LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Skills

Databricks

Delta Lake

DLT

Unity Catalog

Python

Scala

Cloud platforms (AWS/Azure/GCP)

Terraform

DevOps

MLOps

MLflow

Tools

Terraform

Git

CI/CD

Splunk

Prometheus

CloudWatch

DBRX

Mosaic AI

Job description

• We’re seeking a hands‑on experience in Databricks with deep technical expertise in building and optimizing Lakehouse‑based data and AI solutions.
• In this role, you’ll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real‑world outcomes for enterprise customers. You’ll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI.

Key Responsibilities

• Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala.
• Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability.
• Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments.
• Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.
• Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatch.
• Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Required Skills & Experience

• 6 to10 Years for Strong hands‑on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration.
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
• Proficiency in Python or Scala for data engineering and ML workflows.
• Strong understanding of AWS, Azure, or GCP cloud ecosystems.
• Experience with Terraform automation, DevOps, and MLOps practices.

Familiarity with monitoring and governanceframeworks for large-scale data platforms.